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- You have access: full
- Open access
- ISSN: 2050-1242 (Print), 2050-1250 (Online)
- Editor: Martin Everett University of Manchester, UK
- Editorial board
Network Science (NWS) is an interdisciplinary journal aiming to consolidate and advance the emerging discipline of the same name. Recognizing an ever-increasing relevance across domains,the journal is focused on inspiring applications of network approaches, rigorous theory building, and innovative methods.
We therefore encourage submissions presenting original work or surveys on mathematical, computational, empirical, and substantive aspects of the collection, analysis, modeling, and visualization of network data in any field of scientific inquiry.
As of 2024, NWS publishes all content on a fully open-access basis.
We therefore encourage submissions presenting original work or surveys on mathematical, computational, empirical, and substantive aspects of the collection, analysis, modeling, and visualization of network data in any field of scientific inquiry.
As of 2024, NWS publishes all content on a fully open-access basis.
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Editors
Elisa Bellotti, University of Manchester, UK
Noshir Contractor, Northwestern University, USA
Martin Everett, University of Manchester, UK
Laura Koehly, National Human Genome Research Institute, USA
Matteo Magnani, Uppsala University, Sweden
Ann McCranie, Indiana University, USA
Filippo Menczer, Indiana University, USA
Nicola Perra, University of Greenwich, UK
Paolo Pin, University of Siena, Italy
Christoph Stadtfeld, ETH Zürich, Switzerland
Fernando Vega-Redondo, Bocconi University, Italy
Alessandro Vespignani, Northeastern University, USA
Stanley Wasserman, Indiana University, USA
Managing Editor
Vee Everett, London, UK
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